Green human resource management, competitive advantages, and green ambidexterity: using partial least squares structural equation modeling and necessary condition analysis

This study investigates the effect of green human resource management practices on green competitive advantage and the mediating role of competitive advantage between the green human resource management practices and green ambidexterity. This study also examined the effect of green competitive advan...

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Veröffentlicht in:Environmental science and pollution research international 2023-08, Vol.30 (37), p.87938-87957
Hauptverfasser: Ahmad, Jawaria, Al Mamun, Abdullah, Reza, Mohammad Nurul Hassan, Makhbul, Zafir Khan Mohamed, Ali, Khairul Anuar Mohd
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Sprache:eng
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Zusammenfassung:This study investigates the effect of green human resource management practices on green competitive advantage and the mediating role of competitive advantage between the green human resource management practices and green ambidexterity. This study also examined the effect of green competitive advantage on green ambidexterity and the moderating effect of firm size on green competitive advantage and ambidexterity. The results reveal that green recruitment and green training and involvement are not sufficient, but they are necessary for any outcome level of green competitive advantage. The other three constructs (green performance management and compensation, green intellectual capital, and green transformational leadership) are sufficient and necessary; however, green performance management and compensation is necessary only at an outcome level of more than or equal to 60%. The findings revealed that the mediating effect of green competitive advantage is significant only between three constructs (green performance management and compensation, green intellectual capital, and green transformational leadership) and green ambidexterity. The results also indicate that a green competitive advantage has a significant positive effect on green ambidexterity. Exploring the necessary and sufficient factors using a combination of partial least squares structural equation modeling and necessary condition analysis provides valuable guidance for practitioners to optimize firm outcomes.
ISSN:1614-7499
0944-1344
1614-7499
DOI:10.1007/s11356-023-28624-4